Class: CrossValidatorModel

eclairjs/ml/tuning.CrossValidatorModel

Model from k-fold cross validation.

Constructor

new CrossValidatorModel(bestModel, avgMetrics)

Parameters:
Name Type Description
bestModel The best model selected from k-fold cross validation.
avgMetrics Average cross-validation metrics for each paramMap in estimatorParamMaps, in the corresponding order.
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Extends

Methods

(static) load(path) → {CrossValidatorModel}

Parameters:
Name Type Description
path string
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Returns:
Type
CrossValidatorModel

(static) read() → {MLReader}

Source:
Returns:
Type
MLReader

copy(extra) → {CrossValidatorModel}

Parameters:
Name Type Description
extra module:eclairjs/ml/param.ParamMap
Overrides:
Source:
Returns:
Type
CrossValidatorModel

hasParent() → {Promise.<boolean>}

Indicates whether this Model has a corresponding parent.
Inherited From:
Source:
Returns:
Type
Promise.<boolean>

parent() → {module:eclairjs/ml.Estimator}

Inherited From:
Source:
Returns:
Type
module:eclairjs/ml.Estimator

setParent(parent) → {object}

Sets the parent of this model.
Parameters:
Name Type Description
parent module:eclairjs/ml.Estimator
Inherited From:
Source:
Returns:
Type
object

transform(dataset) → {Dataset}

Parameters:
Name Type Description
dataset module:eclairjs/sql.Dataset
Overrides:
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Returns:
Type
Dataset

transformSchema(schema) → {StructType}

Parameters:
Name Type Description
schema module:eclairjs/sql/types.StructType
Source:
Returns:
Type
StructType

write() → {MLWriter}

Source:
Returns:
Type
MLWriter